{ "info": { "author": "Vashisht Bhatt", "author_email": "info@vash.uk", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3.7" ], "description": "# getFamaFrenchFactors\n\nThis programme gets data for fame french factors from the Kenneth French library and returns it as a pandas dataframe.\n\n## Installation\n\nRun the following to install:\n\n```python\npip install getFamaFrenchFactors\n```\n\n## Usage\nFactors can be extracted in monthly ('m') and annual ('a') frequencies. The default is monthly.\n\n```python\nimport getFamaFrenchFactors as gff\n\n# Get the Fama French 3 factor model (monthly data)\ndf_ff3_monthly = gff.famaFrench3Factor(frequency='m') \n\n# Get the Fama French 3 factor model (annual data)\ndf_ff3_annual = gff.famaFrench3Factor(frequency='a')\n```\n\nOther options:\n\n* Momentum factor: momentumFactor()\n* Carhart 4 factor: carhart4Factor()\n* Fama French 5 factor: famaFrench5Factor()\n\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://vash.uk/python-for-finance/", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "getFamaFrenchFactors", "package_url": "https://pypi.org/project/getFamaFrenchFactors/", "platform": "", "project_url": "https://pypi.org/project/getFamaFrenchFactors/", "project_urls": { "Homepage": "https://vash.uk/python-for-finance/" }, "release_url": "https://pypi.org/project/getFamaFrenchFactors/0.0.5/", "requires_dist": [ "pandas", "requests", "bs4" ], "requires_python": "", "summary": "Returns Fama French Factors as a Pandas Dataframe", "version": "0.0.5" }, "last_serial": 5286470, "releases": { "0.0.4": [ { "comment_text": "", "digests": { "md5": "9162049798c81a58674d26dfbf802a04", "sha256": "340f3eca034290035514b7490564e07b66fbb01d503f4ed23e9e7f65bcb1b83d" }, "downloads": -1, "filename": "getFamaFrenchFactors-0.0.4-py3-none-any.whl", "has_sig": false, "md5_digest": "9162049798c81a58674d26dfbf802a04", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 4335, "upload_time": "2019-05-18T16:12:42", "url": "https://files.pythonhosted.org/packages/c3/b5/9cca137bc3e351f2ef94dc952f51da98c7045282846c822ed904088121eb/getFamaFrenchFactors-0.0.4-py3-none-any.whl" } ], "0.0.5": [ { "comment_text": "", "digests": { "md5": "9d4c49b6d5c60d55c58d07423cea890b", "sha256": "abd8b5b17edaa6a47a656ba106bd9d6bb6c25e2c5ba398f9921f102ea40802ae" }, "downloads": -1, "filename": "getFamaFrenchFactors-0.0.5-py3-none-any.whl", "has_sig": false, "md5_digest": "9d4c49b6d5c60d55c58d07423cea890b", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 4624, "upload_time": "2019-05-18T19:33:38", "url": "https://files.pythonhosted.org/packages/7f/0b/64fe98112fed6a7554cb1cdab17ca115803f7c7e39da5c8c5d707045741b/getFamaFrenchFactors-0.0.5-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "9d4c49b6d5c60d55c58d07423cea890b", "sha256": "abd8b5b17edaa6a47a656ba106bd9d6bb6c25e2c5ba398f9921f102ea40802ae" }, "downloads": -1, "filename": "getFamaFrenchFactors-0.0.5-py3-none-any.whl", "has_sig": false, "md5_digest": "9d4c49b6d5c60d55c58d07423cea890b", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 4624, "upload_time": "2019-05-18T19:33:38", "url": "https://files.pythonhosted.org/packages/7f/0b/64fe98112fed6a7554cb1cdab17ca115803f7c7e39da5c8c5d707045741b/getFamaFrenchFactors-0.0.5-py3-none-any.whl" } ] }